Generative AI is rapidly reshaping industries and the skills that students are going to be expected to have to be employable. As the pace of technological change accelerates, universities must innovate to stay competitive and ensure that they are giving students the skills that they need to be competitive. At the same time, generative AI offers the potential to transform university operations, from automating course scheduling and content creation to streamlining expense reporting and administrative functions.
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Generative AI is rapidly reshaping industries and the skills that students are going to be expected to have to be employable. As the pace of technological change accelerates, universities must innovate to stay competitive and ensure that they are giving students the skills that they need to be competitive. At the same time, generative AI offers the potential to transform university operations, from automating course scheduling and content creation to streamlining expense reporting and administrative functions.
Generative AI is rapidly reshaping industries and the skills that students are going to be expected to have to be employable. As the pace of technological change accelerates, universities must innovate to stay competitive and ensure that they are giving students the skills that they need to be competitive. At the same time, generative AI offers the potential to transform university operations, from automating course scheduling and content creation to streamlining expense reporting and administrative functions.
This course provides university leaders with a foundation to understand enough of the key fundamentals of how generative AI works and what it can do to make effective strategic decisions. The course provides a primer on the innovative potential of generative AI across all disciplines and the opportunity for higher education to lead the way in reshaping how students learn and how we work in the future. It shows what is happening in industry and the strategic opportunities for institutions to focus on to help their students excel in the future of work.
The course also provides the foundation that an institution needs to get started innovating with generative AI, ranging from policy to platform. The course covers the essential platforms and infrastructure for effective generative AI integration in university settings, offering advice on investment priorities, efficient resource distribution, and pinpointing key advocates to create an interdisciplinary culture of innovation across campus.
What's inside
Syllabus
Generative AI is Already Here
Module 1 introduces the transformative impact of Generative AI (GenAI) on universities and motivations for its implementation. It highlights the groundbreaking ways that GenAI is already impacting the education space today. Key focuses of this module include exploration of concrete use cases of GenAI in higher education, as well as explanations of how GenAI works and its limitations.
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Syllabus
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Activities
Review data science concepts
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Review fundamental concepts to ensure success in this course
Browse courses on
Generative AI
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-
Review key concepts of data science and generative AI
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Practice working with data sets and algorithms
Organize and synthesize course materials
Show steps
Enhance understanding by organizing and reviewing key points
Show steps
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Review lecture notes and slides
-
Create summaries and mind maps to consolidate information
Explore GenAI applications in industry
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Gain practical insights into real-world GenAI applications
Browse courses on
Generative AI
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Identify industries where GenAI is having a significant impact
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Explore case studies and examples of successful GenAI implementations
Five other activities
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Experiment with GenAI platforms
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Gain hands-on experience with tools and techniques for GenAI implementation
Browse courses on
Generative AI
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-
Choose a GenAI platform to experiment with
-
Build a small-scale GenAI project to apply your understanding
Participate in discussion forums and study groups
Show steps
Engage in peer learning and clarify concepts
Show steps
-
Join online discussion forums and engage with classmates
-
Organize study groups to review key concepts and work on projects
Connect with GenAI experts and practitioners
Show steps
Seek guidance and support from those in the field
Browse courses on
Generative AI
Show steps
-
Identify potential mentors who have expertise in GenAI
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Reach out to mentors and schedule meetings to discuss interests and career goals
Develop a case study on GenAI implementation
Show steps
Apply knowledge by developing a practical plan for GenAI integration
Browse courses on
Generative AI
Show steps
-
Identify a specific area or challenge to address with GenAI
-
Develop a detailed plan for GenAI integration, outlining goals, methods, and evaluation metrics
Contribute to open-source GenAI projects
Show steps
Gain practical experience and advance the field of GenAI
Browse courses on
Generative AI
Show steps
-
Identify open-source GenAI projects that align with your interests
-
Make meaningful contributions to the project, such as bug fixes, feature enhancements, or documentation updates
Review data science concepts
Show steps
Review fundamental concepts to ensure success in this course
Browse courses on
Generative AI
Show steps
- Review key concepts of data science and generative AI
- Practice working with data sets and algorithms
Organize and synthesize course materials
Show steps
Enhance understanding by organizing and reviewing key points
Show steps
- Review lecture notes and slides
- Create summaries and mind maps to consolidate information
Explore GenAI applications in industry
Show steps
Gain practical insights into real-world GenAI applications
Browse courses on
Generative AI
Show steps
- Identify industries where GenAI is having a significant impact
- Explore case studies and examples of successful GenAI implementations
Experiment with GenAI platforms
Show steps
Gain hands-on experience with tools and techniques for GenAI implementation
Browse courses on
Generative AI
Show steps
- Choose a GenAI platform to experiment with
- Build a small-scale GenAI project to apply your understanding
Participate in discussion forums and study groups
Show steps
Engage in peer learning and clarify concepts
Show steps
- Join online discussion forums and engage with classmates
- Organize study groups to review key concepts and work on projects
Connect with GenAI experts and practitioners
Show steps
Seek guidance and support from those in the field
Browse courses on
Generative AI
Show steps
- Identify potential mentors who have expertise in GenAI
- Reach out to mentors and schedule meetings to discuss interests and career goals
Develop a case study on GenAI implementation
Show steps
Apply knowledge by developing a practical plan for GenAI integration
Browse courses on
Generative AI
Show steps
- Identify a specific area or challenge to address with GenAI
- Develop a detailed plan for GenAI integration, outlining goals, methods, and evaluation metrics
Contribute to open-source GenAI projects
Show steps
Gain practical experience and advance the field of GenAI
Browse courses on
Generative AI
Show steps
- Identify open-source GenAI projects that align with your interests
- Make meaningful contributions to the project, such as bug fixes, feature enhancements, or documentation updates
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